Twitter coverage of the 2019 RDA Plenary
Peter Neish
2019-04-04 17:42:04
Parameters
| Parameter | Value |
|---|---|
| Hashtag | c(“#rdaplenary”, “#rdaplenary13”) |
| Conference | RDA 13 Plenary |
| Time Zone | America/New_York |
| Days | c(“2019-04-01”, “2019-04-02”, “2019-04-03”, “2019-04-04”) |
| Accent colour | skyblue3 |
| Pallete | Set1 |
| Topics k | 6 |
| Fixed | TRUE |
1 Introduction
An analysis of tweets from the RDA 13 Plenary conference. A total of 1914 tweets from 388 users were collected using the rtweet R package. Code comes from Luke Zappia
2 Timeline
2.1 Tweets by day
2.2 Tweets by day and time
Filtered for dates 2019-04-01 - 2019-04-04 in the America/New_York timezone.
3 Users
3.1 Top tweeters
3.2 Top original tweeters
3.3 Retweet proportion
3.4 Top tweeters by time
3.5 Top tweeters by day
3.5.1 All tweets
Day 1
Day 2
Day 3
Day 4
3.5.2 Original tweets
Day 1
Day 2
Day 3
Day 4
3.6 Sources
4 Networks
4.1 Replies
The “replies network”, composed from users who reply directly to one another, coloured by page rank.
4.2 Mentions
The “mentions network”, where users mention other users in their tweets. Node colour, label size and alpha adjusted according to PageRank score.
5 Retweets
5.1 Retweet proportion
5.2 Retweet count
5.3 Top retweets
| screen_name | text | retweet_count |
|---|---|---|
| RDA_Europe | Meet the @RDA_Europe ECR & Expert grant winners joining the #RDAPlenary13 meeting in Philadelphia, US, this week of 2-4 April 2019. Stay tuned on the #RDAPlenary. For now, read this:https://t.co/doe4ZH9zxc. Inspire & share your ideas @RDA #CascadingGrants: https://t.co/fEwZpEdGNX https://t.co/taLV9BKtt1 | 15 |
| resdatall |
Stay tuned as today is the official start of the 13th #RDAPlenary. Data professionals, researchers, industry leaders, entrepreneurs & policymakers from all disciplines & geographies will reconvene from April 2-4, in Philadelphia, US. Check the programme👉https://t.co/5viSi8ykVU https://t.co/Wg1yAkaXCh |
13 |
| natalieharrower | Algorithms are deeply vulnerable to bias - we need transparency, regulation, and civic engagement for responsible data science. Keynote by @stoyanoj reminds us why @resdatall’s goals of data sharing (and all the steps to get us there) are deeply important for society #RDAPlenary | 13 |
| scbegonias | First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO | 12 |
| enigmaticocean | What is the impact of RDA outputs? Watch the new video, read RDA adoption stories, submit your own story and take the poll! https://t.co/tlKXdrKVpB #RDAplenary participants, join the Business and Outputs session at 4pm today to hear more… @resdatall https://t.co/k8k4qGmt4A | 11 |
| iainh_z | Huge volume of researcher survey data - >11,000 respondents - announced today with new analysis and insight, including excellent foreword from @grace_baynes #RDAplenary https://t.co/bJ6rsxf97H | 11 |
| SuperChristineK | There’s a wealth of existing training materials in research data, data training: https://t.co/NWQJ3cWfeK , https://t.co/XTkuUhS7Hs , https://t.co/NDelen7xTU @resdatall #RDAPlenary https://t.co/5qJF0SW3kh | 11 |
| sjDCC | Great overview to all the work done by DMP Common Standards WG, going from requirements gathered at IDCC https://t.co/Bg6mS8V1Gw liaison with DMP tool providers and developing use cases to formulate the model https://t.co/SMcuhtjxVR #RDAplenary | 10 |
| resdatall | @LynnYarmey opening the RDA plenary 13 in #Philadelphia Curious about the audience composition? Watch this short video #rdaplenary https://t.co/FRAMDpeGxl | 10 |
| resdatall | Wondering what RDA outputs might be useful for you? Watch a preview of the recording of the talk of @ajuehne on RDA outputs that will be soon available on the RDA website https://t.co/r1SI7eYkA1 #rdaplenary https://t.co/qP6OYmb8Dd | 10 |
6 Favourites
6.1 Favourite proportion
6.2 Favourite count
6.3 Top favourites
| screen_name | text | favorite_count |
|---|---|---|
| scbegonias | First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO | 35 |
| shlakeuva | Who’s wonderful #RDAplenary poster is this? https://t.co/Z5Edv4cqwQ | 30 |
| RosieHLib | Sad to be missing catching up with friends at #RDAplenary and #CollabW19 but I think I’m going to have a pretty good week. I managed to keep our destination secret until we got to the gate, so there is some rapid planning going on! https://t.co/UUbMNmqSrQ | 30 |
| gregory_km | Good timing. On the day when I am showing my poster on data search practices at #RDAPlenary #RDAPlenary13, my paper in the Journal of Information Science was published online: https://t.co/R43hNoVfVD | 29 |
| makedatacount | Thank you to those who are as excited by data usage as we are to fill this packed room for our #RDAplenary data usage metrics WG meeting! https://t.co/2E4YKUnD4I | 28 |
| SuperChristineK | There’s a wealth of existing training materials in research data, data training: https://t.co/NWQJ3cWfeK , https://t.co/XTkuUhS7Hs , https://t.co/NDelen7xTU @resdatall #RDAPlenary https://t.co/5qJF0SW3kh | 25 |
| sjDCC | Great overview to all the work done by DMP Common Standards WG, going from requirements gathered at IDCC https://t.co/Bg6mS8V1Gw liaison with DMP tool providers and developing use cases to formulate the model https://t.co/SMcuhtjxVR #RDAplenary | 24 |
| TomOrrell86 | Very happy to be representing @Data4SDGs and speaking to our interop work here at the #RDAPlenary this morning in Philadelphia. Thanks for the invite @resdatall https://t.co/MKK0fq4XzI | 24 |
| SandriCollins | Fabulous views over Philadelphia from the 33rd floor on the eve of #RDAplenary @resdatall - looking forward to talking about all things data-sharing tomorrow! https://t.co/opXc7S73of | 23 |
| jrcarlso | Looking at data management at institutions is quite complex as the institution is not just one unified entity. Different units have different perspectives, values and investments. Just recognizing and understanding each other will take work. #RDAPlenary | 20 |
7 Quotes
7.1 Quote proportion
7.2 Quote count
7.3 Top quotes
| screen_name | text | quote_count |
|---|---|---|
| jungvari | There are a number of us @AAAS_STPF fellows in the crowd attending #RDAPlenary in Philadelphia, PA this week. https://t.co/GdkiQrDLcd | 5 |
| LIBEReurope | Good luck for a productive meeting! Happy to say that many in the LIBER network are at the #RDAPlenary, including Executive Director @AstridVerheusen (presenting on @SSHOpenCloud) and @bschmid1 of our #RDM Working Group. https://t.co/9o517giMAZ | 5 |
| MovebankTeam | At the Research Data Alliance plenary this week, looking for great ideas for #Movebank and bio-logging from this amazing group of data nerds! #RDAplenary @biologging @resdatall https://t.co/iNme0qxxk1 | 5 |
| zhao_shirley | Watching from the sidelines. Thanks to all who are tweeting 👍 #RDAPlenary #datalibs https://t.co/Oatcef7Sob | 5 |
| fieldworker | Looking forward to hearing from our project team how the presentation goes at the #RDAPlenary https://t.co/LS4uB5F8na | 5 |
| evamen | Lovely!! Roll your sleeves up!!! And welcome to our favorite play-ground #RDAPlenary to make #researData part of #OpenScience https://t.co/u39a5d22bH | 3 |
| hilaryhanahoe | Many thanks Natalie too kind. I am the lucky one to represent such a great movement of doers. Looking forward to a great #RDAplenary https://t.co/VB3x35JkQ1 | 3 |
| Belmont_Forum | Our colleague @jungvari is at the #RDAPlenary in Philadelphia this week to engage on #opendata and #openaccess, #datamanagement #training and best practices, and #FAIRdata principles. Find her at a session break! https://t.co/PKUiZMdYIw | 3 |
| LynnYarmey | Such an important path to plan for, set expectations, identify the right expertise! Thanks @edzale for the great comments! #RDAplenary https://t.co/Aq8KwFyJR0 | 3 |
| asclnet | Yes; this is so often the case. Change management and leadership disciplines offer some useful techniques for moving a community to better practices and new habits. #rdaplenary https://t.co/hShSzHAdMv | 3 |
8 Media
8.1 Media count
8.2 Top media
| screen_name | text | favorite_count |
|---|---|---|
| scbegonias | First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO | 35 |
| shlakeuva | Who’s wonderful #RDAplenary poster is this? https://t.co/Z5Edv4cqwQ | 30 |
| RosieHLib | Sad to be missing catching up with friends at #RDAplenary and #CollabW19 but I think I’m going to have a pretty good week. I managed to keep our destination secret until we got to the gate, so there is some rapid planning going on! https://t.co/UUbMNmqSrQ | 30 |
| makedatacount | Thank you to those who are as excited by data usage as we are to fill this packed room for our #RDAplenary data usage metrics WG meeting! https://t.co/2E4YKUnD4I | 28 |
| SuperChristineK | There’s a wealth of existing training materials in research data, data training: https://t.co/NWQJ3cWfeK , https://t.co/XTkuUhS7Hs , https://t.co/NDelen7xTU @resdatall #RDAPlenary https://t.co/5qJF0SW3kh | 25 |
| TomOrrell86 | Very happy to be representing @Data4SDGs and speaking to our interop work here at the #RDAPlenary this morning in Philadelphia. Thanks for the invite @resdatall https://t.co/MKK0fq4XzI | 24 |
| SandriCollins | Fabulous views over Philadelphia from the 33rd floor on the eve of #RDAplenary @resdatall - looking forward to talking about all things data-sharing tomorrow! https://t.co/opXc7S73of | 23 |
| Timea_B | One of the best #RDAplenary poster sessions. Join us! The @RDA_Europe #EarlyCareer would love to talk to you about their work https://t.co/Z9SK1WkD3H | 20 |
| SuperChristineK | You can’t get this part of the #RDAPlenary through remote attendance: @ANurnberger ‘s infectious effervescence and the profile of @simonhodson99 ‘s pocket square. CODATA/RDA Research Data Science Schools for Low and Middle Income Countries IG #iloveRDA #@resdatall https://t.co/EtzxaBx3f3 | 20 |
| RDA_Europe | Meet the @RDA_Europe ECR & Expert grant winners joining the #RDAPlenary13 meeting in Philadelphia, US, this week of 2-4 April 2019. Stay tuned on the #RDAPlenary. For now, read this:https://t.co/doe4ZH9zxc. Inspire & share your ideas @RDA #CascadingGrants: https://t.co/fEwZpEdGNX https://t.co/taLV9BKtt1 | 20 |
8.2.1 Most liked media images
scbegonias 
shlakeuva 
RosieHLib 
makedatacount 
SuperChristineK 
9 Tweet text
9.1 Word cloud
The top 100 words used 3 or more times.
9.2 Bigram graph
Words that were tweeted next to each other at least 5 times.
9.3 Topic modelling
Top 10 words associated with 6 topics identified by LDA.
9.3.1 Representative tweets
Most representative tweets for each topic
Topic 1
| topic | screen_name | text | gamma |
|---|---|---|---|
| 1 | dnvln |
I love some solid term-bashing. Un-FAIR <> Re-useless Standard <> Guiding principle Open <> Accessible under well defined conditions AI <> Machine learning Management <> Stewardship Sharing <> Visiting Terminology and phrasing to be considered when talking #FAIR #RDAplenary |
0.9956761 |
| 1 | dnvln | Dynamic data citation steps: 1) Data -> versioned (history w/ time stamps) ~Researcher creates working-set via some interface~ 2) Access -> store & assign PID to “QUERY,” enhanced with -time-stamping for re-execution -rewriting for normalization -hashing result set #RDAplenary | 0.9946391 |
| 1 | resdatall | Ingrid Dillo @DANSKNAW highlighting the hot topics under discussion in the RDA Council: revised structure of plenaries; future sustainability of RDA ( regional engagement); revised membership model #rdaplenary .. and finally… vote the new council members https://t.co/axoLXOaeBg https://t.co/kU6ZHchh2W | 0.9937878 |
| 1 | phoebe_ayers | Speaker at the software session at #rdaplenary talking about how the EU copyright reform just passed (which @wikimedia protested btw) will also adversely affect software development & archiving/distro platforms incld GitHub, Software Heritage. | 0.9929478 |
| 1 | scbegonias | First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO | 0.9929478 |
| 1 | CSCfi | RDA:n 14. yleiskokouksen teemaksi on valittu ”Data Makes the Difference”. Käy lukemassa, mistä Suomessa keskustellaan 23.–25.10. @resdatall @CSCfi @AaltoUniversity @tsv_media @IlmaTiede @helsinkiuni #P14 #RDAFinland2019 #RDAPlenary https://t.co/vFWP1xNgNj https://t.co/OUMdui7Eb7 | 0.9926150 |
| 1 | resdatall |
Stay tuned as today is the official start of the 13th #RDAPlenary. Data professionals, researchers, industry leaders, entrepreneurs & policymakers from all disciplines & geographies will reconvene from April 2-4, in Philadelphia, US. Check the programme👉https://t.co/5viSi8ykVU https://t.co/Wg1yAkaXCh |
0.9926150 |
| 1 | anavangulick | #RDAPlenary Just as important: Data transparency! Data is used in training, validating, deploying models. Not solved just by sharing all data, must have privacy, transparency by design, addressing biases in collection, processing methods, and provenance. #opendata | 0.9922492 |
| 1 | scbegonias | @resdatall and @wholetale Fellow Christina Ore engaged the #RDAPlenary13 #rdaplenary on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/MxSaRkmvYA | 0.9918452 |
| 1 | asclnet | Data transparency is not synonymous with making all data public. Release data whenever possible, and also release data selection, collection, and pre-processing methodologies; known sources of bias; provenance and quality information, and more #rdaplenary | 0.9918452 |
Topic 2
| topic | screen_name | text | gamma |
|---|---|---|---|
| 2 | asclnet | Attributes (items) in profile are expressed as key-value pairs where values are simple (indivisible)(first normal form) Any profile should follow 2nd & 3rd normal form. May reduce migration issues if records need to be migrated to revised profile in the future. #rdaplenary | 0.9937878 |
| 2 | enigmaticocean | Digging into crunchy #LOD issues at the #RDAplenary Heritage Science Research Data Challenges of LOD Authoritative Sources BoF. @librarycongress examples include air sampling data from musical instrument storage facilities https://t.co/BQT61fKuS7 | 0.9935309 |
| 2 | asclnet | Data science has the power to improve peoples lives and accelerate scientific discovery… but data science also has the power to harm; examples include online price discrimination (Staples), delivery service areas (Amazon)… #RDAPlenary | 0.9929478 |
| 2 | JulianeS | In the Reproducible Health Data WG. Think about how profoundly one unreproducible study impacted the way we talk about autism and vaccinations. It caused a massive cultural shift far outside medicine/research. Reproducibility is crucial to good, trustworthy science #RDAPlenary | 0.9926150 |
| 2 | asclnet | And now “On the EU Copyright Reform” by @rdicosmo Copyright law evolution has challenges for software… if a service accepts deposits from users must have effective content recognition technologies, meaning able to detect whether what is deposited is copyrighted. #rdaplenary | 0.9922492 |
| 2 | RDA_Europe | “We are Data, Responsibly. We study the foundations of responsible data science and build tools that translate our insights into data science practice.” Check @stoyanoj’s course on Responsible Data Science #RDAplenary. https://t.co/kcEXcfG2Nz | 0.9922492 |
| 2 | jon_petters | @iGenomics - FAIR defines data and metadata properties; TRUST describes the characteristics of data repositories that are responsible for managing and disseminating data over a long period of time - want FAIR data in repositories we TRUST #rdaplenary | 0.9922492 |
| 2 | moraneottilia |
Identifying software is one of the greatest challenges in research. Join the discussion remotely at 14:30 EDT for the Software Source Code Identification Working Group!#RDAPlenary #Plenary13 @SWHeritage @asclnet Details: https://t.co/Iv27JM45Pr access: https://t.co/Nus0pdKkca https://t.co/yvIeA7lZ5c |
0.9918452 |
| 2 | DrPengAtAVL | Enjoyed #RDAPlenary and #Philly. Great to discuss #DataSharing challenges with people from #AllOverTheWorld. Loved the questions on curating #QualityInformation. Same ones prompted us to develop and apply #DataStewardshipMaturityModel: https://t.co/zO1u0SMQci #CICSNC #OneStop | 0.9913968 |
| 2 | modernmuchness | I’ll be running a BoF on “Content Mining with Proprietary and IP-Protected Data” with @EllieDickson today at #rdaplenary. Looking forward to ongoing conversations about the infrastructural, technical, social, and legal aspects of TDM. | 0.9913968 |
Topic 3
| topic | screen_name | text | gamma |
|---|---|---|---|
| 3 | SuperChristineK | My SIO colleague, Steve Diggs, describes the Data for Black Lives community and its aims: enabling access to data to decrease those disadvantaged by not having access to data such as sea rise data in vulnerable coastal communities. @resdatall #RDAPlenary https://t.co/dTRvYy8E6y https://t.co/GHKrrupNLy | 0.9937878 |
| 3 | Repositorian | IG RDA/CODATA Legal Interoperability - This morning we’re talking licensing best practices for Research Compendia eg @ProjectJupyter notebooks, @Rstudio R Projects, Whole Tale, @CodeOcean compute capsules at #RDAPlenary Meeting | RDA https://t.co/bv7qeHlAY7 | 0.9932520 |
| 3 | iGenomics |
A survey of “Make Data Count” received 85 responses. 56% US, 32% Europe. 94% from a repository manager. 89% tracking data download, 66% tracking metadata. 54% receive requests for metrics. Tracking tools: Google Analytics, in-house tools, Matomo. #rdaplenary #RDAPlenary13 |
0.9932520 |
| 3 | sjDCC | Great example of @resdatall impact shared by @RobQuick5 in INoN meeting. The data science schools showed a Colombian student the Open Science Grid. He got access to a 2000 node cluster and has produced 6 papers as a result. #sharing #skills #LMIC #cyberinfrastructure #RDAplenary | 0.9929478 |
| 3 | enigmaticocean | What is the impact of RDA outputs? Watch the new video, read RDA adoption stories, submit your own story and take the poll! https://t.co/tlKXdrKVpB #RDAplenary participants, join the Business and Outputs session at 4pm today to hear more… @resdatall https://t.co/k8k4qGmt4A | 0.9926150 |
| 3 | SuperChristineK | You can’t get this part of the #RDAPlenary through remote attendance: @ANurnberger ‘s infectious effervescence and the profile of @simonhodson99 ‘s pocket square. CODATA/RDA Research Data Science Schools for Low and Middle Income Countries IG #iloveRDA #@resdatall https://t.co/EtzxaBx3f3 | 0.9926150 |
| 3 | SusannaASansone | Gearing up for #RDAplenary and event on #metadata - Also excited to announce that our @resdatall @force11rescomm @FAIRsharing_org WG output article with 69 authors (reps of the #adopters community) will be out in @NatureBiotech on Tues 2nd as #openaccess #ccby #FAIRdata https://t.co/kDNVOhRPJF | 0.9922492 |
| 3 | jezcope | First proper culture shock moment for a poor Brit here in Philly. The hotel room has mugs, glasses, coffee, teabags, coffee maker, ice bucket and microwave. Can anyone tell me what’s missing? #RDAplenary https://t.co/7KTW1eInGB | 0.9918452 |
| 3 | SandriCollins | Good morning Philadelphia #RDAplenary! 433 attendees in person, more online - everyone working to share data. Secretary General @hilaryhanahoe inspiring the community in the opening session & @LynnYarmey welcoming everyone as Community Development Officer. Love the badge ribbons! https://t.co/yYedGbrqYy | 0.9918452 |
| 3 | n_simons | Those who attended the data policy standardisation & implementation IG session with @iainh_z and I yesterday may be interested to read: Implementing publisher policies that inform, support and encourage authors to share data https://t.co/M3hz0oME4f #rdaplenary | 0.9918452 |
Topic 4
| topic | screen_name | text | gamma |
|---|---|---|---|
| 4 | asclnet | … redlining in Philadelphia, women not being shown ads for high-paid jobs on Google shown to men, Google searches triggering ads for arrest records for racially identifying names, racial bias in criminal sentencing in commercial tool used by judges (COMPAS)… #RDAPlenary | 0.9940250 |
| 4 | asclnet | HA! Here’s what’s on the summary slide: Facilitate machine-actionabitlity Non-authoritatve metadata source Stored directly at resolver Controlled change Infrequent change without human interaction Simple values (1NF) Proof for future migration (2ND & 3NF) #rdaplenary | 0.9940250 |
| 4 | asclnet | PID Kernel Information: Recommendation and Outlook #rdaplenary Scalability challenge: plethora of objects & PIDs for them; more obj-to-obj relationships than for articles; more complex footprint of these new types of obis, and difference from past: heavy machine orientation | 0.9932520 |
| 4 | anavangulick | #RDAPlenary keynote by @stoyanoj - thinking about bias in data, models - “we say a model is biased when it does not accurately match the real world, but should a model always reflect societal bias accurately? Or should it reflect a more ideal world with less human bias? | 0.9929478 |
| 4 | asclnet | COMPAS s/w failed to correctly predict risk of re-offending, biased along racial lines. This and the other examples show bias in predictive analytics. Need to be careful to distinguish between statistical bias in the model and societal bias in the data. #RDAPlenary | 0.9926150 |
| 4 | asclnet | Lot of info can be put in PID record, but what is wise choice? This WG looks for most essential info: the kernel info, which is organized through profiles. WG id’d core guiding principles which are valid independent from a particular technology. #rdaplenary | 0.9926150 |
| 4 | dnvln |
The early success[es] of the internet was down to…
|
0.9922492 |
| 4 | resdatall | @stoyanoj a model is biased if it doesn’t summarize the data correctly; a dataset is biased when it doesn’t represent the world correctly. Bias can lead to discrimination! Still wondering why with data comes responsibility? #rdaplenary https://t.co/Xy0CcTF2YI | 0.9922492 |
| 4 | JeSLIBJournal | April Author of the Month: In honor of @resdatall #RDAPlenary13 happening this week @DrexelUniv, we highlight Lisa Johnston (@ifylawwt) who leads a three-year, multi-institutional effort to launch the #DataCurationNetwork. Be sure to find her & other #DCN members at #RDAPlenary! https://t.co/A3Y455bLHY | 0.9918452 |
| 4 | asclnet | Going forward, Force11 group continues to coordinate activities, w/ more detailed work in task forces, and trying to address some of the underlying problems, realizing that this is a long term activity. Ex. is joint RDA/Froce11 S/W Source Code Identifier Working Group #rdaplenary | 0.9918452 |
Topic 5
| topic | screen_name | text | gamma |
|---|---|---|---|
| 5 | dnvln | maDMPs said out loud is a funny word. But machine actionable DMPs as a project is super cool — creating a container for event data and relational metadata that’s automated will provide a ton of context to published research data #RDAplenary | 0.9935309 |
| 5 | Repositorian | Perhaps the work of Journal Data Policies IG could be taken up at @C0PE since data policies == extension of editorial policies & publicatn ethics. strong endorsement of the need for standardized data policies could incentivize publishers to adopt IGs rec policies! #RDAPlenary | 0.9932520 |
| 5 | natalieharrower | Great to hear that RDA members from Canada, Costa Rica and the US are discussing a @resdatall North American region. And discussing what North America is at the same time! Let me know when you figure it out. @mleggott #RDAplenary (tweet from yesterday stuck in drafts folder) https://t.co/VmxggzrGw8 | 0.9926150 |
| 5 | SuperChristineK | Santiago, my colleague @NCSAatIllinois and of @OpenStorageNet and @wholetale projects, addresses the Early Career and Engagement IG. This IG has monthly calls/tech demos and an active Slack channel. #RDAplenary @MWBigDataHub https://t.co/HUQ1dW71Pe | 0.9922492 |
| 5 | vtenhunen | George Strawn in the Data Fabric IG: “We must automate activities that currently require much manual intervention”. I agree. It seems that automation and AI will be the possibility and challenge for research data community today and near future. #RDAPlenary https://t.co/HGE0iMtnXL | 0.9922492 |
| 5 | purpleleighton | Interested in transportation research data? Know of a distributed repository network model? Join us for the collocated “Building a Transportation Research Data Preservation Network” workshop. Your input welcome! Congress C; 0900 to 1500. https://t.co/lV4TeHSUbg #RDAplenary | 0.9918452 |
| 5 | SusannaASansone | .@barendmons remind us the huge uptake of #FAIRprinciples paper & follow up papers clarifying scope & remit, but Francoise of TAB strongly disagrees saying “FAIR is in the end of the community and not of the generators”. But who is ‘in or out’ this community? Odd! #RDAplenary | 0.9918452 |
| 5 | SusannaASansone | #FAIR3DM Robert member of our @FAIRsharing_org https://t.co/HVMfRUCDQp International Advisory Board shows its role & broad adoption. We work to make FAIR-enabling #standards #repositories #policies FAIRer. Watch out for our paper tomorrow! @GOFAIRofficial @resdatall #RDAplenary https://t.co/DDD83YWzhA | 0.9918452 |
| 5 | SSHRC_CRSH | Hello Canadians at @resdatall Plenary in Philly – The next intake for SSHRC’s Data Management Capacity Building initiative, offered through the Connection Grants funding opportunity, is May 1! For more info: https://t.co/IJoZXhav4E #RDAPlenary #BigData #cdnpse | 0.9918452 |
| 5 | anavangulick | My #RDAplenary posters can also be found on @KiltHub @figshare check ’em out! Next CMU Open Science Symposium will be Nov 2019 https://t.co/yjZn2i74ZH and open data and preprint on our survey psychology research practices coming soon https://t.co/y4752DZZsk | 0.9913968 |
Topic 6
| topic | screen_name | text | gamma |
|---|---|---|---|
| 6 | iGenomics | John Westbrook will present on behalf of PDB (Protein Data Bank) PDB Founded 1971 with 7 X-ray structures. Today has >150K structures. 210 New drugs approved 2010-16 with a target in PDB. > $100b of funding of NIH contributed to those approvals to those targets (95%) #RDAPlenary | 0.9937878 |
| 6 | iGenomics | The benefits PDB got from @CoreTRUSTSeal certification: Uncovers implicit knowledge of process that many lack proper document, id systemic weakness and potential areas for improvement, to explore other disciplines are addressing similar DM, benchmark the resource. #RDAPlenary | 0.9932520 |
| 6 | SandriCollins | Very impressive keynote by @stoyanoj at #RDAplenary @resdatall on mitigating bias in decision making, to achieve fairness and diversity. Some shocking case studies - very compelling argument for insisting on more diversity in AI, data analysis and data management https://t.co/jZckRYP3Pe | 0.9926150 |
| 6 | sjDCC | Phew… it is worth packing to go to #RDAplenary tomorrow! Had a panic this afternoon after hearing about declined estas & realising I still hadn’t got round to purchasing mine c.15hrs before flying. Luckily it was approved in time it took to have a pint. Timezone in my favour! | 0.9926150 |
| 6 | parnopaeus | This report shared by @stoyanoj at #rdaplenary about the AI job recruiting tool that taught itself that male candidates were preferable is horrifying, like something out of dystopian sci-fi. AI is not leveling; it reproduces social construction. https://t.co/GASFyuSBiH | 0.9926150 |
| 6 | natalieharrower | Algorithms are deeply vulnerable to bias - we need transparency, regulation, and civic engagement for responsible data science. Keynote by @stoyanoj reminds us why @resdatall’s goals of data sharing (and all the steps to get us there) are deeply important for society #RDAPlenary | 0.9926150 |
| 6 | iGenomics | Certification challenges from PDB’s perspectives: requires expertise in data science & engineering as well as in the target domain. the long time horizon of some CTS objectives are difficult to support 3-5 yrs competitive funding cycles in the US. #RDAPlenary #RDAPlenary13 | 0.9926150 |
| 6 | Timea_B | Fairness in predictive analytics = “trolley problems” with an additional complication as different metrics matter to different stakeholders @stoyanoj suggests starting with algorithmic transparency hand in hand with data transparency and interpretability #RDAplenary | 0.9918452 |
| 6 | jon_petters | Drivers for NGDC to get @CoreTrustSeal- demonstrate their professionalism, consider the full data lifeycle, benchmark their processes and services, provide confidence to funders, and align to scientific publishers who are looking for this sort of trusted status #rdaplenary | 0.9918452 |
| 6 | jrcarlso | Algorithmic transparency to combat bias in AI and machine learning systems is not met by just releasing the source code. Algorithmic transparency requires data transparency. @stoyanjo #RDAPlenary | 0.9913968 |
Session info
## setting value
## version R version 3.3.2 (2016-10-31)
## system x86_64, darwin13.4.0
## ui X11
## language (EN)
## collate en_AU.UTF-8
## tz <NA>
## date 2019-04-04
##
## package * version date source
## assertthat 0.2.0 2017-04-11 CRAN (R 3.3.2)
## backports 1.0.5 2017-01-18 cran (@1.0.5)
## bindr 0.1.1 2018-03-13 CRAN (R 3.3.2)
## bindrcpp * 0.2 2017-06-17 CRAN (R 3.3.2)
## broom 0.4.2 2017-02-13 CRAN (R 3.3.2)
## cli 1.0.1 2018-09-25 CRAN (R 3.3.2)
## colorspace 1.3-2 2016-12-14 CRAN (R 3.3.2)
## crayon 1.3.4 2017-09-16 CRAN (R 3.3.2)
## devtools 1.12.0 2016-06-24 CRAN (R 3.3.0)
## digest 0.6.12 2017-01-27 CRAN (R 3.3.2)
## dplyr * 0.7.4 2017-09-28 CRAN (R 3.3.2)
## evaluate 0.10 2016-10-11 cran (@0.10)
## fansi 0.4.0 2018-10-05 CRAN (R 3.3.2)
## farver 1.0 2018-09-17 CRAN (R 3.3.2)
## forcats * 0.2.0 2017-01-23 CRAN (R 3.3.2)
## foreign 0.8-67 2016-09-13 CRAN (R 3.3.2)
## ggforce 0.1.1 2016-11-28 CRAN (R 3.3.2)
## ggplot2 * 3.0.0 2018-07-03 CRAN (R 3.3.2)
## ggraph * 1.0.2 2018-07-07 CRAN (R 3.3.2)
## ggrepel * 0.7.0 2017-09-29 CRAN (R 3.3.2)
## glue 1.3.0 2018-07-17 CRAN (R 3.3.2)
## gridExtra 2.2.1 2016-02-29 cran (@2.2.1)
## gtable 0.2.0 2016-02-26 CRAN (R 3.3.0)
## here * 0.1 2017-05-28 CRAN (R 3.3.2)
## highr 0.6 2016-05-09 cran (@0.6)
## htmltools 0.3.5 2016-03-21 cran (@0.3.5)
## httr 1.3.1 2017-08-20 CRAN (R 3.3.2)
## igraph * 1.1.2 2017-07-21 CRAN (R 3.3.2)
## janeaustenr 0.1.5 2017-06-10 CRAN (R 3.3.2)
## jsonlite 1.2 2016-12-31 CRAN (R 3.3.2)
## knitr * 1.20 2018-02-20 CRAN (R 3.3.2)
## labeling 0.3 2014-08-23 CRAN (R 3.3.0)
## lattice 0.20-34 2016-09-06 CRAN (R 3.3.2)
## lazyeval 0.2.0 2016-06-12 CRAN (R 3.3.0)
## lubridate * 1.6.0 2016-09-13 CRAN (R 3.3.0)
## magrittr 1.5 2014-11-22 CRAN (R 3.3.0)
## MASS 7.3-45 2016-04-21 CRAN (R 3.3.2)
## Matrix 1.2-7.1 2016-09-01 CRAN (R 3.3.2)
## memoise 1.0.0 2016-01-29 CRAN (R 3.3.0)
## mnormt 1.5-5 2016-10-15 CRAN (R 3.3.0)
## modeltools 0.2-22 2018-07-16 CRAN (R 3.3.2)
## munsell 0.5.0 2018-06-12 CRAN (R 3.3.2)
## nlme 3.1-128 2016-05-10 CRAN (R 3.3.2)
## NLP 0.1-11 2017-08-15 CRAN (R 3.3.2)
## pillar 1.3.0 2018-07-14 CRAN (R 3.3.2)
## pkgconfig 2.0.2 2018-08-16 CRAN (R 3.3.2)
## plyr 1.8.4 2016-06-08 CRAN (R 3.3.0)
## psych 1.6.12 2017-01-08 CRAN (R 3.3.2)
## purrr 0.2.2 2016-06-18 CRAN (R 3.3.0)
## R6 2.3.0 2018-10-04 CRAN (R 3.3.2)
## RColorBrewer * 1.1-2 2014-12-07 CRAN (R 3.3.0)
## Rcpp 0.12.19 2018-10-01 CRAN (R 3.3.2)
## reshape2 1.4.2 2016-10-22 CRAN (R 3.3.0)
## rlang 0.2.2 2018-08-16 CRAN (R 3.3.2)
## rmarkdown 1.10 2018-06-11 CRAN (R 3.3.2)
## rprojroot 1.2 2017-01-16 cran (@1.2)
## rtweet * 0.6.8 2018-09-28 CRAN (R 3.3.2)
## scales 0.5.0 2017-08-24 CRAN (R 3.3.2)
## slam 0.1-40 2016-12-01 CRAN (R 3.3.2)
## SnowballC 0.5.1 2014-08-09 CRAN (R 3.3.0)
## stringi 1.2.4 2018-07-20 CRAN (R 3.3.2)
## stringr 1.3.1 2018-05-10 CRAN (R 3.3.2)
## tibble 1.4.2 2018-01-22 CRAN (R 3.3.2)
## tidyr * 0.6.1 2017-01-10 CRAN (R 3.3.2)
## tidytext * 0.2.0 2018-10-17 CRAN (R 3.3.2)
## tm 0.7-5 2018-07-29 CRAN (R 3.3.2)
## tokenizers 0.1.4 2016-08-29 CRAN (R 3.3.0)
## topicmodels * 0.2-7 2017-11-03 CRAN (R 3.3.2)
## tweenr 1.0.0 2018-09-27 CRAN (R 3.3.2)
## units 0.6-1 2018-09-21 CRAN (R 3.3.2)
## utf8 1.1.4 2018-05-24 CRAN (R 3.3.2)
## viridis * 0.5.1 2018-03-29 CRAN (R 3.3.2)
## viridisLite * 0.3.0 2018-02-01 CRAN (R 3.3.2)
## withr 2.1.2 2018-03-15 CRAN (R 3.3.2)
## wordcloud * 2.5 2014-06-13 CRAN (R 3.3.0)
## xml2 1.1.1 2017-01-24 CRAN (R 3.3.2)
## yaml 2.1.14 2016-11-12 cran (@2.1.14)